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Some improvements to the Shenoy-Shafer and Hugin architectures for computing marginals
1998
Artificial Intelligence
The main aim of this paper is to describe two modifications to the Shenoy-Shafer architecture with the goal of making it computationally more efficient in computing marginals of the joint valuation. We also describe a modification to the Hugin architecture. Finally, we briefly compare the traditional and modified architectures by solving a couple of small Bayesian networks, and conclude with a statement of further research.
doi:10.1016/s0004-3702(98)00047-2
fatcat:ikz3p3hmxna3pkbsxal7swlt7i